Skip to content
Live
Emerging AI

MIT professor envisions billions of personal AI agents as alternative to AGI pursuit

Ramesh Raskar argues for specialized, user-controlled agents over centralized artificial general intelligence, exploring edge AI and decentralized infrastructure.

Summarized from Imagination in Action, . 30-second read.

MIT Media Lab professor Ramesh Raskar discusses a vision of AI's future centered on billions of personal agents that users can train and control, rather than the pursuit of . In conversation with journalist Nina Gregory, Raskar argues that small, specialized models running on phones and personal devices could handle everyday tasks more effectively than pursuing AGI.

The discussion explores edge AI, decentralized intelligence, and the infrastructure needed for what Raskar calls an " web," including identity verification, testing and governance frameworks. He also introduces Project NANDA and argues that making an AI agent safe involves more than just securing its underlying model—it requires broader system-level considerations.

Read the full story at Imagination in Action

This is an AI-written summary. The original reporting belongs to Imagination in Action. How we write these · Spot a mistake?

Share

Get the AI brief every morning.

The five AI stories that matter each morning: startups, money, jobs, tech and what's coming next. Free, and one click to unsubscribe. See our Privacy Policy.